Alternatives and similar repositories for nba-shotcharts:

Users that are interested in nba-shotcharts are comparing it to the libraries listed below

• rd11490 / NBA_Tutorials
  Tutorials for processing nba data
  ☆171Updated 9 months ago
• anpatton / basic-nba-tutorials
  Tutorials for some common NBA stats questions in both python and R
  ☆89Updated 2 years ago
• basketballrelativity / py_ball
  Python API for stats.nba.com with a focus on NBA and WNBA applications
  ☆110Updated 3 months ago
• mcbarlowe / nba_scraper
  A scraper to scrape the NBA API and compile a play by play file
  ☆75Updated 2 years ago
• slieb74 / NBA-Shot-Analysis
  Visualizations to better understand NBA shooting tendencies and efficiency and classification models to predict shot outcomes
  ☆38Updated 6 years ago
• vishaalagartha / basketball_reference_scraper
  A python module for scraping static and dynamic content from Basketball Reference.
  ☆268Updated last year
• mlsedigital / mplbasketball
  Basketball plotting library for use with matplotlib
  ☆63Updated 4 months ago
• danchyy / Basketball_Analytics
  Repository which contains various scripts and work with various basketball statistics
  ☆156Updated last year
• sealneaward / movement-quadrants
  Label SportVU movement data with shot zone labels
  ☆17Updated 8 years ago
• hadjdeh / football-data-analysis
  Football Data Processing & Visualization
  ☆59Updated 9 months ago
• DomSamangy / R_Tutorials
  Using packages to create shot charts generated in R Studio.
  ☆38Updated 2 years ago
• dblackrun / nba-stats-tracking
  A package to work with NBA player tracking stats using the NBA Stats API
  ☆39Updated 2 years ago
• basketballrelativity / basketball_data_science
  Working through Basketball Data Science
  ☆24Updated 4 years ago
• sealneaward / nba-movement-data
  SportVU movement tracking data.
  ☆223Updated 7 years ago
• griffisben / Post_Match_App
  ☆9Updated last week
• shufinskiy / nba-on-court
  Python package for filling in information about players on court in NBA play-by-play data.
  ☆36Updated 3 months ago
• savvastj / nbashots
  NBA shot charts using matplotlib, seaborn, and bokeh.
  ☆166Updated 7 years ago
• sportsdataverse / sportsdataverse-py
  sportsdataverse python package
  ☆86Updated last month
• djblechn-su / nba-player-team-ids
  NBA Player and Team ID Database compiling data from https://www.basketball-reference.com/, https://www.nba.com/, http://www.espn.com/nba/…
  ☆30Updated 2 years ago
• DomSamangy / Sports_Analytics_Guide
  Comprehensive sports analytics guide w/ R & Python focus.
  ☆16Updated last year
• dblackrun / pbpstats
  A package to scrape and parse NBA, WNBA and G-League play-by-play data.
  ☆107Updated 8 months ago
• Slothfulwave612 / soccerplots
  A Python package for data visualisation for football analytics.
  ☆80Updated 3 years ago
• GabrielPastorello / BRScraper
  Python package for Basketball Reference scraping and easy access to basketball data, including NBA, G League and international leagues
  ☆13Updated last year
• ant-vessicchio / learn_data_science_through_sports
  Journey through the world of data science from beginner to advanced concepts and methodologies. In this repository, I will walk you throu…
  ☆39Updated 2 years ago
• andrewsimplebet / expected_goals_deep_dive
  A tutorial on using cross validation and calibrating predictions for expected goals models in soccer
  ☆34Updated 4 years ago
• shreyas7kha / DataVizTutorial
  A tutorial on how to make dashboards using matplotlib using data from Fbref and Understat
  ☆20Updated 3 years ago
• Ali-Hasan-Khan / Scrape-Whoscored-Event-Data
  Get match event data from whoscored.com
  ☆37Updated 2 months ago
• Dato-Futbol / passing-networks
  A couple of functions to create customized passing networks with event data by Statsbomb and tracking data by Metrica Sport
  ☆48Updated 3 years ago
• rsforbes / pro_sports_transactions
  A Python Library for Consuming Transactions from Pro Sports Transactions (https://www.prosportstransactions.com)
  ☆13Updated last year
• shufinskiy / sport_analytics_tools
  Tools to help developers and data scientists in sports
  ☆42Updated 3 months ago